cs.CE · 2026-07-09 · No. 48
Computational Engineering, Finance, and Science, 2026-07-09.
1 new papers in cs.CE. Titles, authors,
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01 — The papers
1 entries-
01
Macroeconomic Message Passing for Anticipating Foreign Exchange Regime Changes: A Deep Logical Learning Approach using Graph Tsetlin Machines
Christian Blakely, Melanie Gilmore
cs.CE · cs.LG
This paper introduces a graph-theoretic approach for predicting market regimes in foreign exchange (FX) currency prices. Specifically, the proposed model incorporates exogenous macroeconomic variables to update localized node features via message-passing operations. Utilizing the Graph Tsetlin Machine (GraphTM) framework, we empirically demonstrate the efficacy of this approach in anticipating market regimes for the US Dollar and Japanese Yen...
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